Module manager: Prof Bill Gerrard
Email: W.J.Gerrard@lubs.leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2016/17
A Level Mathematics or Statistics Grade B
| LUBS1260 | Mathematics for Economics and Business 1 |
| LUBS1280 | Mathematical Economics |
| LUBS1525 | Analytical Methods |
This module is approved as a discovery module
This module provides an Excel-based introduction to the application of analytical techniques used in business analytics.
This modules aims to give students an introduction to the use of Excel in applying the principal analytical techniques used in business analytics.
Learning Outcomes - Knowledge/Application
Upon completion of this module students will be able to demonstrate accurate, in-depth and thorough knowledge of analytical techniques and how to apply these techniques to business problems using Excel.
Learning Outcomes - Skills
Upon completion of this module students will be able to:
Subject specific
1. Apply appropriate analytical techniques to analyse business data using Excel to support management decision making
Transferable
1. Analytical skills - mathematical/numerical/statistical
2. Microsoft Excel
3. Communication skills - written
4. Creative problem solving
5. Critical thinking - reviewing evidence; interpreting results
6. Research skills
7. Use of knowledge
Upon completion of this module students will be able to apply appropriate analytical techniques using Excel to analyse business data in support of management decision making.
Indicative content:
1. The nature of data analytics
2. The use of Excel as an analytical tool
3. Exploratory data analysis
4. Data visualisation
5. Descriptive data mining: clustering and data reduction
6. Investigating mean differences
7. Modelling continuous outcomes
8. Modelling with categorical data
9. Model diagnostics
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 22 | 1 | 22 |
| Tutorial | 9 | 1 | 9 |
| Private study hours | 69 | ||
| Total Contact hours | 31 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Private Study
2 hours reading per lecture = 44 hours
2 hours preparation per tutorial = 18 hours
Revision = 7 hours
Total private study = 69 hours
Student progress will be monitored principally by tutorial performance. All tutorials will require the completion of a practical assignment in advance. Selected assignments will be submitted and marked to provide feedback on student performance (including written communication skills). In addition there will be regular VLE progress tests.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Unseen exam | 1.0 Hrs 30 Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
Resit will be assessed by the same methodology as the first attempt.
There is no reading list for this module
Last updated: 4/29/2016
Errors, omissions, failed links etc should be notified to the Catalogue Team